Keyword search (4,164 papers available)

"Uncertainty" Keyword-tagged Publications:

Title Authors PubMed ID
1 Adaptive sliding mode fault-tolerant control of an over-actuated hybrid VTOL fixed-wing UAV under transition flight Wang B; Zhao H; Hu X; Shen Y; Li N; 41475926
ENCS
2 Intolerance of uncertainty, psychological symptoms, and pain in long-term childhood cancer survivors: a report from the Childhood Cancer Survivor Study Alberts NM; Stratton KL; Leisenring WM; Pizzo A; Lamoureux É; Alschuler K; Flynn J; Krull KR; Jibb LA; Nathan PC; Olgin JE; Stinson JN; Armstrong GT; 40699439
PSYCHOLOGY
3 Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks Adcock B; Brugiapaglia S; Dexter N; Moraga S; 39454372
MATHSTATS
4 Exploring the effects of anthropogenic disturbance on predator inspection activity in Trinidadian guppies Brusseau AJP; Feyten LEA; Crane AL; Brown GE; 38476138
BIOLOGY
5 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
6 How uncertainty affects information search among consumers: a curvilinear perspective He S; Rucker DD; 36471868
JMSB
7 UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection Abdar M; Salari S; Qahremani S; Lam HK; Karray F; Hussain S; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S; 36217534
ENCS
8 Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis Zhu Y; Chen Z; 36191500
ENCS
9 Viral Anxiety Mediates the Influence of Intolerance of Uncertainty on Adherence to Physical Distancing Among Healthcare Workers in COVID-19 Pandemic Chung S; Lee T; Hong Y; Ahmed O; Silva WAD; Gouin JP; 35733798
PSYCHOLOGY
10 Decision-first modeling should guide decision making for emerging risks Morgan K; Collier ZA; Gilmore E; Schmitt K; 35104915
ENCS
11 Towards a better understanding of deep convolutional neural network processes for recognizing organic chemicals of environmental concern Sun X; Zhang X; Wang L; Li Y; Muir DCG; Zeng EY; 34388923
CHEMBIOCHEM
12 Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study Cai M; An C; Guy C; Lu C; Mafakheri F; 34182392
ENCS
13 A robust optimization model for tactical capacity planning in an outpatient setting Aslani N; Kuzgunkaya O; Vidyarthi N; Terekhov D; 33215335
ENCS
14 Qualitative threshold method validation and uncertainty evaluation: A theoretical framework and application to a 40 analytes liquid chromatography-tandem mass spectrometry method Camirand Lemyre F; Desharnais B; Laquerre J; Morel MA; Côté C; Mireault P; Skinner CD; 32476284
CHEMBIOCHEM
15 Quantifying construction waste reduction through the application of prefabrication: a case study in Anhui, China. Hao J, Chen Z, Zhang Z, Loehlein G 32358748
ENCS
16 An ecological framework of neophobia: from cells to organisms to populations. Crane AL, Brown GE, Chivers DP, Ferrari MCO 31599483
BIOLOGY
17 Worldwide contamination of food-crops with mycotoxins: Validity of the widely cited 'FAO estimate' of 25. Eskola M, Kos G, Elliott CT, Hajšlová J, Mayar S, Krska R 31478403
CHEMBIOCHEM
18 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM

 

Title:Qualitative threshold method validation and uncertainty evaluation: A theoretical framework and application to a 40 analytes liquid chromatography-tandem mass spectrometry method
Authors:Camirand Lemyre FDesharnais BLaquerre JMorel MACôté CMireault PSkinner CD
Link:https://pubmed.ncbi.nlm.nih.gov/32476284/
DOI:10.1002/dta.2867
Publication:Drug testing and analysis
Keywords:method validationqualitativethresholduncertainty of measurement
PMID:32476284 Category:Drug Test Anal Date Added:2020-06-02
Dept Affiliation: CHEMBIOCHEM
1 Department of Mathematics, Université de Sherbrooke, 2500 Université Boulevard, Sherbrooke, Québec, J1K 2R1, Canada.
2 School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, 3010, Australia.
3 Centre de recherche, Centre hospitalier universitaire de Sherbrooke, 12th Avenue North, Sherbrooke, Québec, J1H 5N4, Canada.
4 Department of Toxicology, Laboratoire de sciences judiciaires et de médecine légale, 1701 Parthenais Street, Montréal, Québec, H2K 3S7, Canada.
5 Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke Street West, Montréal, Québec, H4B 1R6, Canada.
6 Department of Criminalistics, Laboratoire de sciences judiciaires et de médecine légale, 1701 Parthenais Street, Montréal, Québec, H2K 3S7, Canada.

Description:

Qualitative methods hold an important place in drug testing, filling central needs in screening and analyses, among others, linked to per se legislation. Nevertheless, the bioanalytical method validation guidelines do not discuss this type of method or describe method validation procedures ill-adapted to qualitative methods. The output of qualitative methods are typically categorical, binary results, such as presence/absence or above cut-off/below cut-off. As the goal of any method validation is to demonstrate fitness for use under production conditions, qualitative validation guidelines should evaluate performance based on discrete, binary results instead of the continuous measurements obtained from the instrument (e.g. area). A tentative validation guideline for threshold qualitative methods was developed by in silico modelling of measurements and derived binary results. This preliminary guideline was applied to a liquid chromatography-tandem mass spectrometry method for 40 analytes, each with a defined threshold concentration. Validation parameters calculated from the analysis of 30 samples spiked above and below the threshold concentration (false negative rate, false positive rate, selectivity rate, sensitivity rate and reliability rate) showed a surprisingly high failure rate. Overall, 13 out of the 40 analytes were not considered validated. A subsequent examination found that this was attributable to an appreciable shift in the standard deviation of the area ratio on a day-to-day basis, a previously undescribed and unaccounted-for behaviour in the qualitative threshold method validation literature. Consequently, the developed guideline was modified and used to validate a qualitative threshold method, based on the binary results for performance evaluation and incorporating measurement uncertainty.





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